Datasets:
results.parquet: the open-weight models' verdicts; the card: one table and one weak-spots chart for every system, and the open-weight models' headline against parameters
Browse files- README.md +35 -14
- assets/cost.svg +2 -2
- assets/latency.svg +2 -2
- assets/params.svg +80 -0
- assets/weak-spots.svg +605 -241
- results.parquet +2 -2
README.md
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## Results
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| parser | headline | text | tables | layout |
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| Gemini 3.8 Flash* | 92.9 | 91.3 | 95.2 | 92.2 |
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| Datalab accurate | 92.7 | 90.8 | 91.8 | 95.6 |
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| Datalab balanced | 91.6 | 90.0 | 89.2 | 95.5 |
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| Reducto | 90.8 | 85.4 | 91.2 | 95.8 |
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| LlamaParse | 90.4 | 88.2 | 92.6 | 90.4 |
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\* Used in creating and verifying at least some tests.
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The headline is the mean of three family scores: text (`present`, `order` and `repeat` tests), tables
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(`table_cell`) and layout (`layout_kind`). Tesseract
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Every verdict behind these numbers is in `results.parquet`: one row per parser and test, with the test's
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page, document, suite, type, derivation and tags, its `result` (`pass`, `fail`, or `unsupported` when the
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## Results
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| parser | weights | headline | text | tables | layout |
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| --- | --- | ---: | ---: | ---: | ---: |
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| Gemini 3.8 Flash* | closed | 92.9 | 91.3 | 95.2 | 92.2 |
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| **Datalab accurate** | closed | 92.7 | 90.8 | 91.8 | 95.6 |
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| **Datalab balanced** | closed | 91.6 | 90.0 | 89.2 | 95.5 |
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| Reducto | closed | 90.8 | 85.4 | 91.2 | 95.8 |
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| LlamaParse | closed | 90.4 | 88.2 | 92.6 | 90.4 |
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| **chandra-ocr-2** | open | 90.1 | 87.4 | 87.4 | 95.4 |
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| Mistral OCR | closed | 89.5 | 82.8 | 91.9 | 93.8 |
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| Claude Sonnet 5.5* | closed | 88.7 | 93.1 | 95.4 | 77.5 |
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| dots.mocr | open | 87.9 | 82.5 | 88.6 | 92.5 |
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| GPT-5.6 Sol | closed | 87.8 | 85.4 | 91.6 | 86.5 |
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| MinerU2.5-Pro | open | 87.1 | 77.4 | 92.1 | 91.7 |
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| Infinity-Parser2-Pro | open | 87.0 | 83.3 | 84.1 | 93.5 |
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| Extend | closed | 83.3 | 64.1 | 92.5 | 93.4 |
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| **Surya OCR 2** | open | 83.1 | 80.6 | 74.3 | 94.3 |
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| Azure | closed | 83.0 | 74.6 | 81.7 | 92.8 |
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| LightOnOCR-3-4B | open | 82.9 | 83.9 | 70.8 | 94.0 |
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| LightOnOCR-3-0.8B | open | 81.6 | 81.1 | 72.1 | 91.7 |
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| GLM-OCR | open | 81.5 | 71.0 | 84.2 | 89.3 |
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| Unlimited-OCR | open | 79.3 | 70.2 | 76.5 | 91.1 |
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| PaddleOCR-VL-1.6 | open | 78.7 | 61.7 | 83.7 | 90.7 |
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| Infinity-Parser2-Flash | open | 78.4 | 78.4 | 66.5 | 90.4 |
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| DeepSeek-OCR-2 | open | 75.2 | 64.2 | 70.0 | 91.4 |
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| HunyuanOCR-1.5 | open | 64.6 | 50.5 | 61.9 | 81.4 |
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| olmOCR-2 | open | none | 71.3 | 56.6 | unsupported |
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| Nanonets-OCR2-3B | open | none | 68.2 | 62.6 | unsupported |
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| Tesseract | open | none | 17.6 | 0.0 | unsupported |
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\* Used in creating and verifying at least some tests.
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Open-weight models are served on their own GPU host from omni-parse-bench's server images, with the defaults
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each vendor recommends; each adapter's docstring lists where it differs.
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The headline is the mean of three family scores: text (`present`, `order` and `repeat` tests), tables
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(`table_cell`) and layout (`layout_kind`). Tesseract, olmOCR-2 and Nanonets-OCR2-3B return no layout, so
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they have no headline.
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Every verdict behind these numbers is in `results.parquet`: one row per parser and test, with the test's
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page, document, suite, type, derivation and tags, its `result` (`pass`, `fail`, or `unsupported` when the
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results.parquet
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 4721266
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